{"id":"W2125264414","doi":"10.1373/clinchem.2006.072660","title":"Diffractive Optics Technology: A Novel Detection Technology for Immunoassays","year":2006,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Axela (Canada)","funders":"National Cancer Institute","keywords":"Optics; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001621677,0.001435405,0.001207679,0.002109093,0.000697955,0.002604562,0.002135663,0.002267566,0.001994217],"category_scores_gemma":[0.001137418,0.001112376,0.0009002137,0.001232265,0.002588148,0.00270552,0.001625121,0.002962694,0.00204552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212519,"about_ca_system_score_gemma":0.001128076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006934002,"about_ca_topic_score_gemma":0.0004592083,"domain_scores_codex":[0.9973151,0.0002413048,0.0001051833,0.0004356657,0.001768187,0.0001344888],"domain_scores_gemma":[0.9994255,0.000182175,0.0001046748,0.00006023534,0.0001743084,0.0000531122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009914127,0.0001414103,0.0008227009,0.001099758,0.00005237538,0.000456387,0.0002961358,0.001003169,0.7582732,0.04982406,0.007852281,0.1800794],"study_design_scores_gemma":[0.00006347734,0.0004856315,0.0006969538,0.0002507023,0.00006664249,0.002329576,0.0001037503,0.01502711,0.711652,0.01040142,0.2587806,0.0001420359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01733978,0.08392556,0.8719069,0.004259068,0.002629317,0.0005056289,0.0002705389,0.002458539,0.0167046],"genre_scores_gemma":[0.0931272,0.06492227,0.816098,0.003256175,0.00142037,0.000568921,0.0002485145,0.0002073978,0.02015122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002604562,"threshold_uncertainty_score":0.01541942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188984273978301,"score_gpt":0.2971418652768048,"score_spread":0.2782434378789747,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}